Li Sun

Computer Vision and Pattern Recognition · with Song · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 226 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 39 citations into it; #18,197 of 35,345 by trust here, #17,776 by citations
• Model Architectures — 13 citations into it
• Media Technology — 5 citations into it

Whom Li Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Karen Simonyan
5. Ilya Sutskever
6. Andrew Zisserman
7. Yoshua Bengio
8. Ross B. Girshick
9. Yann LeCun
10. Shaoqing Ren

Who trusts Li Sun overall

1. Lin Wang

Papers from Li Sun's perspective

Ordered by how strongly the researchers Li Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation (2019) — 65 citations
• CU-Net: Component Unmixing Network for Textile Fiber Identification (2019) — 22 citations
• Amalgamating Knowledge towards Comprehensive Classification (2018) — 108 citations